Uncertainty quantification with PyTorch

Repository for the code associated with the paper Impact of applicability domains by Maxime Langevin et al.

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

Flower: A Friendly Federated Learning Framework

Chemcrow

This repository contains code examples for several methods in a Causal Inference in RCTs short course.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Practical Data Privacy

Utility functions for modelling and simulation workflows within esqLABS organization

De Novo Drug Design with RNNs and Transformers

python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.

A probabilistic programming framework

Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.

An R package providing a unified interface to several dose-finding trial methodologies

Uniform Manifold Approximation with Two-phase Optimization (IEEE VIS 2022 short)

TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data

mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

Starter repository for submissions to the CausalBench challenge for gene-gene graph inference from genetic perturbation experiments.

Electronic Health Record Analysis with Python.

Improving Public Access to Aggregate Content of ClinicalTrials.gov

Tutorial_Computational_Causal_Inference_Estimators

A unified framework for machine learning with time series

A game theoretic approach to explain the output of any machine learning model.

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

A Python package for causal inference in quasi-experimental settings